Instructions to use IndianChess/Therapy-Alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IndianChess/Therapy-Alpaca with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="IndianChess/Therapy-Alpaca")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("IndianChess/Therapy-Alpaca")
model = AutoModelForCausalLM.from_pretrained("IndianChess/Therapy-Alpaca")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use IndianChess/Therapy-Alpaca with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "IndianChess/Therapy-Alpaca"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "IndianChess/Therapy-Alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/IndianChess/Therapy-Alpaca

SGLang

How to use IndianChess/Therapy-Alpaca with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "IndianChess/Therapy-Alpaca" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "IndianChess/Therapy-Alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "IndianChess/Therapy-Alpaca" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "IndianChess/Therapy-Alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use IndianChess/Therapy-Alpaca with Docker Model Runner:
```
docker model run hf.co/IndianChess/Therapy-Alpaca
```

Therapy-Alpaca / training_args.bin

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Commit History

Training in progress, step 500 7b4f1c0 verified

Training in progress, step 500 7337385 verified

Training in progress, step 500 58066ed verified

Training in progress, step 500 6746de8 verified

Training in progress, step 500 7acbc1c verified

End of training efb7531 verified

End of training 35b507a verified

Training in progress, step 500

7b4f1c0
verified

Training in progress, step 500

7337385
verified

Training in progress, step 500

58066ed
verified

Training in progress, step 500

6746de8
verified

Training in progress, step 500

7acbc1c
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End of training

efb7531
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End of training

35b507a
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